Text Classification
Transformers
PyTorch
TensorFlow
English
deberta-v2
Sentiment-Analysis
Hate-Speech_Detection
NLP
Multi-task
Instructions to use Vivek-Sham/deberta-multitask-sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vivek-Sham/deberta-multitask-sentiment-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Vivek-Sham/deberta-multitask-sentiment-analysis")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Vivek-Sham/deberta-multitask-sentiment-analysis", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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#### Training Hyperparameters
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Training Hyperparameters
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Batch size: 32
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Learning rate: 5e-5
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Epochs: 10
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Optimizer: AdamW
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### Results
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The model achieved the following accuracy scores:
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Emotion Detection: 92%
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Polarity Classification: 95%
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Hate Speech Detection: 99%
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#### Training Hyperparameters
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Training Hyperparameters
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-**Batch size**: 32
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-**Learning rate**: 5e-5
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-**Epochs**: 10
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-**Optimizer**: AdamW
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### Results
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The model achieved the following accuracy scores:
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-**Emotion Detection**: 92%
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-**Polarity Classification**: 95%
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-**Hate Speech Detection**: 99%
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